Dávid Lakatos

617 citations
7 papers · 412 indexed · h-index 7
Topics
Interactive and Immersive Displays (5 papers)Tactile and Sensory Interactions (4 papers)Augmented Reality Applications (3 papers)
Journals
interactionsDSpace@MIT (Massachusetts Institute of Technology)
Partner nations
United StatesSweden

In The Last Decade

Dávid Lakatos

7 papers receiving 401 citations

Peers

Dávid Lakatos
Comparison fields: 5 of 49
  • Human-Computer Interaction 353
  • Cognitive Neuroscience 183
  • Computer Vision and Pattern Recognition 129
  • Mechanical Engineering 120
  • Biomedical Engineering 43
Replace Jean‐Baptiste Labrune with:
Jean‐Baptiste Labrune United States
Esben Warming Pedersen Denmark
Woohun Lee South Korea
Christian Weichel United Kingdom
Homei Miyashita Japan
Miguel Bruns Netherlands
Harpreet Sareen United States
Teddy Seyed Canada
Hyunyoung Song United States
Clement Zheng Singapore
Dávid Lakatos relative to Jean‐Baptiste Labrune United States Jean‐Baptiste Labrune's profile →
Citations per field
00.5×1.5×
Jean‐Baptiste Labrune · 1×
Citations per year

Countries citing papers authored by Dávid Lakatos

Since Specialization
Citations

This map shows the geographic impact of Dávid Lakatos's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Dávid Lakatos with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dávid Lakatos more than expected).

Fields of papers citing papers by Dávid Lakatos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dávid Lakatos. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Dávid Lakatos. The network helps show where Dávid Lakatos may publish in the future.

Co-authorship network of co-authors of Dávid Lakatos

This figure shows the co-authorship network connecting the top 25 collaborators of Dávid Lakatos. A scholar is included among the top collaborators of Dávid Lakatos based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Dávid Lakatos. Dávid Lakatos is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

7 of 7 papers shown
#WorkIndexed citations
1 19
2 265
3 9
4 69
5 35
6 6
7 9

About Dávid Lakatos

Dávid Lakatos is a scholar working on Human-Computer Interaction, Cognitive Neuroscience and Computer Vision and Pattern Recognition, having authored 7 papers that have together received 412 indexed citations. Recurring topics across this work include Interactive and Immersive Displays (5 papers), Tactile and Sensory Interactions (4 papers) and Augmented Reality Applications (3 papers). The work is most often cited by research in Human-Computer Interaction (353 citations), Cognitive Neuroscience (183 citations) and Computer Vision and Pattern Recognition (129 citations). Dávid Lakatos has collaborated with scholars based in United States and Sweden. Frequent co-authors include Hiroshi Ishii, Leonardo Bonanni, Jean‐Baptiste Labrune, Daniel Leithinger, Hiroshi Ishii, Ken Perlin, Alex Olwal, Xiao Xiao, Lining Yao and Michael S. Bernstein. Their work appears in journals such as interactions and DSpace@MIT (Massachusetts Institute of Technology).

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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